Concept

Processus de naissance et de mort

Publications associées (5)

Parameter estimation for discretely observed linear birth-and-death processes

Anthony Christopher Davison, Sophie Myriam Hautphenne, Andrea Kraus

Birth-and-death processes are widely used to model the development of biological populations. Although they are relatively simple models, their parameters can be challenging to estimate, as the likelihood can become numerically unstable when data arise fro ...

WILEY2020

Stability of a Stochastic Model for Demand-Response

Jean-Yves Le Boudec, Dan-Cristian Tomozei

We study the stability of a Markovian model of electricity production and consumption that incorporates production volatility due to renewables and uncertainty about actual demand versus planned production. We assume that the energy producer targets a fixe ...

2013

Agent-Based Routing in Queueing Systems

Olivier Gallay

Waiting time in any network is often a costly and hence a bad experience. Therefore, to avoid jamming regions becomes essential in the optimization of traffic flows. In this regard, the conception and the control of complex networks supporting flows of uni ...

EPFL2010

Weariness and Loyalty Loss in Recurrent Service Models

Max-Olivier Hongler, Olivier Gallay

For recurrent service providers (fast-food, entertainment, medical care,...), retaining loyal customers is obviously a key issue. The customers' loyalty essentially depends on their service satisfaction defined via an ad-hoc utility function. Among several ...

2008

Statistical inference for olfactometer data

Anthony Christopher Davison, Ingrid Ricard

Olfactometer experiments are used to determine the effect of odours on the behaviour of organisms such as insects or nematodes, and typically result in data comprising many groups of small overdispersed counts. We develop a non-homogeneous Markov chain mod ...

2007

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